| Literature DB >> 21633069 |
Julie A Reynolds1, Robert J Thompson.
Abstract
One of the best opportunities that undergraduates have to learn to write like a scientist is to write a thesis after participating in faculty-mentored undergraduate research. But developing writing skills doesn't happen automatically, and there are significant challenges associated with offering writing courses and with individualized mentoring. We present a hybrid model in which students have the structural support of a course plus the personalized benefits of working one-on-one with faculty. To optimize these one-on-one interactions, the course uses BioTAP, the Biology Thesis Assessment Protocol, to structure engagement in scientific peer review. By assessing theses written by students who took this course and comparable students who did not, we found that our approach not only improved student writing but also helped faculty members across the department--not only those teaching the course--to work more effectively and efficiently with student writers. Students who enrolled in this course were more likely to earn highest honors than students who only worked one-on-one with faculty. Further, students in the course scored significantly better on all higher-order writing and critical-thinking skills assessed.Entities:
Mesh:
Year: 2011 PMID: 21633069 PMCID: PMC3105927 DOI: 10.1187/cbe.10-10-0127
Source DB: PubMed Journal: CBE Life Sci Educ ISSN: 1931-7913 Impact factor: 3.325
BioTAP rubrica
| 1. Is the writing appropriate for the target audience? |
| 2. Does the thesis make a compelling argument for the significance of the student's research within the context of the current literature? |
| 3. Does the thesis clearly articulate the student's research goals? |
| 4. Does the thesis skillfully interpret the results? |
| 5. Is there a compelling discussion of the implications of findings? |
| 6. Is the thesis clearly organized? |
| 7. Is the thesis free of writing errors? |
| 8. Are the citations presented consistently and professionally throughout the text and in the list of works cited? |
| 9. Are the tables and figures clear, effective, and informative? |
aQuestions 1–5 are higher-order writing and critical-thinking issues, and questions 6–9 represent mid- to lower-order writing issues. See Supplemental Material C and Reynolds for descriptions of the standards for each question and for the rubric questions that address scientific accuracy and appropriateness.
Figure 1.Taking the course significantly increases the likelihood of earning highest honors and decreases the likelihood of earning honors. The distributions of the frequencies of theses earning honors, high honors, and highest honors for students who took the course (n = 47) and those who did not (n = 143) differed significantly (χ2 = 13.1, df = 2, p < 0.001). Consensus scores reported.
Figure 2.Taking the course significantly improves students’ scores on higher-order writing and critical-thinking skills. The percentage of theses in which the standards of excellence were met was significantly higher for questions 1, 2, and 5 (*p < 0.05) and for questions 3 and 4 (**p < 0.01) for students who enrolled in the course (n = 47) vs. those who did not (n = 143). Two-by-two χ2 analyses were performed for each BioTAP question, comparing mastery of the standards of excellence (score = 5) vs. nonmastery of these standards (score < 5, only mastery data shown) for theses in each group. Questions 1–5 are higher-order writing and critical-thinking issues, whereas questions 6–9 represent mid- to lower-order writing issues (Table 1). Consensus scores reported.
Comparison of group composition by ethnicity and gendera
| Course ( | No course ( | χ2 | ||
|---|---|---|---|---|
| African American | 13% (6) | 18% (26) | ||
| Not African American | 87% (41) | 81% (117) | 0.74 | 0.39 |
| Asian, Asian American, and Pacific Islander | 13% (6) | 25% (36) | ||
| Not Asian, Asian American, or Pacific Islander | 87% (41) | 75% (107) | 3.16 | 0.08 |
| Caucasian | 53% (25) | 43% (61) | ||
| Not Caucasian | 47% (22) | 57% (82) | 1.58 | 0.21 |
| Hispanic | 15% (7) | 4% (6) | ||
| Not Hispanic | 85% (40) | 96% (137) | 6.35 | 0.01 |
| Other (as denoted by student) | 6% (3) | 10% (14) | ||
| Not other | 94% (44) | 90% (129) | 0.50 | 0.48 |
| Female | 72% (34) | 57% (81) | ||
| Male | 28% (13) | 43% (62) | 3.65 | 0.06 |
aTwo-by-two χ2 analyses (df = 1) testing the hypothesis that the composition of students who enrolled in the course is not significantly different from the composition of students who did not. The only significant result is that Hispanics were significantly more likely to enroll in the course than non-Hispanics.
Comparison of thesis quality by ethnicity and gendera
| Asian, Asian American, and Pacific Islander ( | Not Asian, Asian American, or Pacific Islander ( | χ2 | ||
|---|---|---|---|---|
| Highest honors | 10% (4) | 14% (21) | ||
| High honors | 74% (31) | 61% (90) | ||
| Honors | 17% (7) | 25% (37) | 2.390 | 0.30 |
| Hispanic ( | Not Hispanic ( | |||
| Highest honors | 30% (4) | 12% (21) | ||
| High honors | 62% (8) | 64% (113) | ||
| Honors | 8% (1) | 24% (43) | 0.1124 | |
| Female ( | Male ( | χ2 | ||
| Highest honors | 13% (15) | 13% (10) | ||
| High honors | 70% (81) | 53% (40) | ||
| Honors | 17% (19) | 33% (25) | 7.628 | 0.02 |
aThree-by-two χ2 analyses of consensus scores (df = 2) testing the hypothesis that certain ethnicities or genders significantly influence the overall quality of the thesis. Due to the small cohort size, the Fisher exact test* was performed for the Hispanic vs. not-Hispanic test. The only significant result is that men are overrepresented in the lowest honors category whereas women are overrepresented in the high honors category. There is no gender difference in the highest honors category.
Comparison of group composition by prior academic performancea
| Course | No course | ||||||
|---|---|---|---|---|---|---|---|
| Mean ( | SD | Mean ( | SD | ||||
| Grade in first-year writing | 3.77 (46) | 0.31 | 3.72 (142) | 0.37 | −0.86 | 186 | 0.39 |
| SAT verbal | 710 (46) | 51.40 | 725 (131) | 59.06 | 1.55 | 175 | 0.12 |
| SAT math | 726 (46) | 60.37 | 745 (131) | 56.41 | 1.87 | 175 | 0.06 |
aStudent's t test analysis testing the hypothesis that the composition of students within the course group is not significantly different from the group who did not take the course. SAT scores were available for only 177 of the 190 students in this study; grades were available for only 182 students. No significant differences were detected.